OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Forecasting Civil Wars: Theory and Structure in an Age of “Big Data” and Machine Learning
Robert Blair, Nicholas Sambanis
Journal of Conflict Resolution (2020) Vol. 64, Iss. 10, pp. 1885-1915
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Leakage and the reproducibility crisis in machine-learning-based science
Sayash Kapoor, Arvind Narayanan
Patterns (2023) Vol. 4, Iss. 9, pp. 100804-100804
Open Access | Times Cited: 260

Event Prediction in the Big Data Era
Liang Zhao
ACM Computing Surveys (2021) Vol. 54, Iss. 5, pp. 1-37
Open Access | Times Cited: 64

Political Exclusion, Lost Autonomy, and Escalating Conflict over Self-Determination
Micha Germann, Nicholas Sambanis
International Organization (2020) Vol. 75, Iss. 1, pp. 178-203
Open Access | Times Cited: 35

Predicting non-state terrorism worldwide
André Python, Andreas Bender, A. Nandi, et al.
Science Advances (2021) Vol. 7, Iss. 31
Open Access | Times Cited: 28

The Promise and Pitfalls of Conflict Prediction: Evidence from Colombia and Indonesia
Samuel Bazzi, Robert Blair, Christopher Blattman, et al.
The Review of Economics and Statistics (2021) Vol. 104, Iss. 4, pp. 764-779
Open Access | Times Cited: 26

Exploring Conflict Escalation: Power Imbalance, Alliances, Diplomacy, Media, and Big Data in a Multipolar World
Arshed Simo, Syahrul Mustafa, Kawar Mohammed Mousa
Journalism and Media (2025) Vol. 6, Iss. 1, pp. 43-43
Open Access

The 2023/24 VIEWS Prediction challenge: Predicting the number of fatalities in armed conflict, with uncertainty
Håvard Hegre, Paola Vesco, Michael P. Colaresi, et al.
Journal of Peace Research (2025)
Closed Access

Forecasting conflict in Africa with automated machine learning systems
Vito D’Orazio, Yu Lin
International Interactions (2022) Vol. 48, Iss. 4, pp. 714-738
Open Access | Times Cited: 14

Conflict forecasting with event data and spatio-temporal graph convolutional networks
Patrick T. Brandt, Vito D’Orazio, Latifur Khan, et al.
International Interactions (2022) Vol. 48, Iss. 4, pp. 800-822
Open Access | Times Cited: 12

PLOVER and POLECAT: A New Political Event Ontology and Dataset
Andrew Halterman, Benjamin E. Bagozzi, Andreas Beger, et al.
(2023)
Open Access | Times Cited: 5

Reassessing the Role of Theory and Machine Learning in Forecasting Civil Conflict
Andreas Beger, Richard Morgan, Michael D. Ward
Journal of Conflict Resolution (2021) Vol. 65, Iss. 7-8, pp. 1405-1426
Closed Access | Times Cited: 12

When the levee breaks: A forecasting model of violent and nonviolent dissent
Jonathan Pinckney, Babak RezaeeDaryakenari
International Interactions (2022) Vol. 48, Iss. 5, pp. 997-1026
Open Access | Times Cited: 8

Civil Wars: Escalation and De-Escalation
‪Fabio Andrés Díaz Pabón‬, Isabelle Duyvesteyn
Civil Wars (2023) Vol. 25, Iss. 2-3, pp. 229-248
Open Access | Times Cited: 4

Weather variability and conflict forecasts: Dynamic human-environment interactions in Kenya
Andrew M. Linke, Frank D. W. Witmer, John Ο’Loughlin
Political Geography (2021) Vol. 92, pp. 102489-102489
Closed Access | Times Cited: 10

The Use of Machine Learning Methods in Political Science: An In-Depth Literature Review
Jef de Slegte, Filip Van Droogenbroeck, Bram Spruyt, et al.
Political Studies Review (2024)
Closed Access | Times Cited: 1

The promise of machine learning in violent conflict forecasting
Max Murphy, Ezra Sharpe, Kayla Huang
Data & Policy (2024) Vol. 6
Open Access | Times Cited: 1

A Spatial Economic Model of War Between Great Powers <br>
Jordan Adamson
(2024)
Closed Access | Times Cited: 1

Using Social Media to Monitor Conflict-Related Migration: A Review of Implications for A.I. Forecasting
Hamid Akın Ünver
Social Sciences (2022) Vol. 11, Iss. 9, pp. 395-395
Open Access | Times Cited: 6

Click, click boom: Using Wikipedia data to predict changes in battle-related deaths
Christian Oswald, Daniel Ohrenhofer
International Interactions (2022) Vol. 48, Iss. 4, pp. 678-696
Open Access | Times Cited: 5

Does Energy Efficiency Promote Economic Growth?: Evidence from a Multi-Country and Multi-Sector Panel Data Set
Ashish Rajbhandari, Fan Zhang
World Bank, Washington, DC eBooks (2017)
Open Access | Times Cited: 7

The role of governmental weapons procurements in forecasting monthly fatalities in intrastate conflicts: A semiparametric hierarchical hurdle model
Cornelius Fritz, Marius Mehrl, Paul W. Thurner, et al.
International Interactions (2021) Vol. 48, Iss. 4, pp. 778-799
Open Access | Times Cited: 7

Is Theory Useful for Conflict Prediction? A Response to Beger, Morgan, and Ward
Robert Blair, Nicholas Sambanis
Journal of Conflict Resolution (2021) Vol. 65, Iss. 7-8, pp. 1427-1453
Closed Access | Times Cited: 6

High resolution conflict forecasting with spatial convolutions and long short-term memory
Benjamin J. Radford
International Interactions (2022) Vol. 48, Iss. 4, pp. 739-758
Closed Access | Times Cited: 4

Challenging the status quo: Predicting violence with sparse decision-making data
Konstantin Bätz, Ann-Cathrin Klöckner, Gerald Schneider
International Interactions (2022) Vol. 48, Iss. 4, pp. 697-713
Open Access | Times Cited: 4

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