Moshe Koppel

6.8k citations
92 papers · 3.9k indexed · h-index 29

Moshe Koppel

86 papers receiving 3.3k citations

Peers

Moshe Koppel
Comparison fields: 5 of 112
  • Artificial Intelligence 3.2k
  • Human-Computer Interaction 215
  • Information Systems 848
  • Communication 163
  • Language and Linguistics 174
Replace Shlomo Argamon with:
Shlomo Argamon United States
Walter Daelemans Belgium
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Owen Rambow United States
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Citations per field
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Citations per year

Countries citing papers authored by Moshe Koppel

Since Specialization
Citations

This map shows the geographic impact of Moshe Koppel's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Moshe Koppel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moshe Koppel more than expected).

Fields of papers citing papers by Moshe Koppel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moshe Koppel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Moshe Koppel. The network helps show where Moshe Koppel may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Moshe Koppel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Moshe Koppel Line = papers co-authored together Moshe Koppel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2
Shamela: A Large-Scale Historical Arabic Corpus
20161
3 201428
4 201318
5
Authorship Attribution: What's Easy and What's Hard?
201310
6
A Systemic Functional Approach To Automated Authorship Analysis
20138
7 201350
8
Translationese and Its Dialects
201178
9
Unsupervised Decomposition of a Document into Authorial Components
201125
10
Markers of translator gender: Do they really matter?
20102
11
Simulating human grandmasters: evolution and coevolution of evaluation functions
20094
12
Fully Unsupervised Discovery of Concept-Specific Relationships by Web Mining
200747
13
Measuring Differentiability: Unmasking Pseudonymous Authors
2007109
14 200541
15
Effects of Age and Gender on Blogging
2005343
16
Using neutral examples for learning polarity
200510
17
A probabilistic classification approach for lexical textual entailment
200526
18
A probabilistic lexical approach to textual entailment
20054
19
Good News or Bad News? Let the Market Decide
200436
20
Complexity, D epth, and Sophistication
19872

About Moshe Koppel

Moshe Koppel is a scholar working on Artificial Intelligence, General Decision Sciences, Human-Computer Interaction, Computational Theory and Mathematics and Management Science and Operations Research, having authored 92 papers that have together received 3.9k indexed citations. Recurring topics across this work include Authorship Attribution and Profiling (40 papers), Natural Language Processing Techniques (33 papers), Topic Modeling (30 papers), Advanced Text Analysis Techniques (9 papers), Hate Speech and Cyberbullying Detection (7 papers), Game Theory and Voting Systems (6 papers), Computability, Logic, AI Algorithms (6 papers) and Machine Learning and Algorithms (5 papers). The work is most often cited by research in Artificial Intelligence (3.2k citations), Human-Computer Interaction (215 citations), Information Systems (848 citations), Communication (163 citations) and Language and Linguistics (174 citations). Moshe Koppel has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Jonathan Schler, Shlomo Argamon, James W. Pennebaker, Jonathan Fine, Efstathios Stamatatos, Navot Akiva, Ido Dagan, Noam Ordan, Henri Atlan and Ari Rappoport. Their work appears in journals such as Machine Learning, Journal of the Association for Information Science and Technology, Digital Scholarship in the Humanities, Language Resources and Evaluation and ACM SIGIR Forum.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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