Mohsen Mesgar

713 total citations
16 papers, 194 citations indexed

About

Mohsen Mesgar is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohsen Mesgar has authored 16 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohsen Mesgar's work include Topic Modeling (13 papers), Natural Language Processing Techniques (11 papers) and Text Readability and Simplification (5 papers). Mohsen Mesgar is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (11 papers) and Text Readability and Simplification (5 papers). Mohsen Mesgar collaborates with scholars based in Germany, United States and Iran. Mohsen Mesgar's co-authors include Michael Strube, Iryna Gurevych, Steffen Eger, Gözde Gül Şahin, Edwin Simpson, Andreas Rücklé, Cláudia Schulz, Ji-Ung Lee, Yang Gao and Christian M. Meyer and has published in prestigious journals such as Explore Bristol Research, arXiv (Cornell University) and TUbilio (Technical University of Darmstadt).

In The Last Decade

Mohsen Mesgar

13 papers receiving 187 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mohsen Mesgar Germany 6 182 26 12 11 9 16 194
Guillermo Carrascón Spain 7 124 0.7× 35 1.3× 8 0.7× 11 1.0× 13 1.4× 25 161
Chenglei Si United States 8 131 0.7× 22 0.8× 12 1.0× 25 2.3× 7 0.8× 13 159
Leonid Velikovich United States 5 263 1.4× 40 1.5× 13 1.1× 4 0.4× 16 1.8× 7 273
Saloni Potdar United States 7 178 1.0× 24 0.9× 8 0.7× 38 3.5× 4 0.4× 14 209
Emilio Sanchís Spain 10 243 1.3× 20 0.8× 15 1.3× 21 1.9× 7 0.8× 44 261
Mathieu Lafourcade France 8 196 1.1× 62 2.4× 13 1.1× 17 1.5× 5 0.6× 61 228
Kashif Rasul Germany 3 158 0.9× 27 1.0× 8 0.7× 12 1.1× 15 1.7× 3 183
Weiguang Qu China 8 209 1.1× 43 1.7× 8 0.7× 21 1.9× 9 1.0× 36 227
Kenton Murray United States 7 115 0.6× 37 1.4× 5 0.4× 34 3.1× 7 0.8× 19 139

Countries citing papers authored by Mohsen Mesgar

Since Specialization
Citations

This map shows the geographic impact of Mohsen Mesgar'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 Mohsen Mesgar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohsen Mesgar more than expected).

Fields of papers citing papers by Mohsen Mesgar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohsen Mesgar. 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 Mohsen Mesgar. The network helps show where Mohsen Mesgar may publish in the future.

Co-authorship network of co-authors of Mohsen Mesgar

This figure shows the co-authorship network connecting the top 25 collaborators of Mohsen Mesgar. A scholar is included among the top collaborators of Mohsen Mesgar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohsen Mesgar. Mohsen Mesgar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
3.
Mesgar, Mohsen, et al.. (2023). Python Code Generation by Asking Clarification Questions. 14287–14306. 2 indexed citations
4.
Mesgar, Mohsen, et al.. (2023). The Devil is in the Details: On Models and Training Regimes for Few-Shot Intent Classification. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
6.
Mesgar, Mohsen, et al.. (2021). A Natural Language Interface for an Energy System Model. TUbilio (Technical University of Darmstadt). 2018. 1–5. 1 indexed citations
7.
Mesgar, Mohsen, et al.. (2019). A Neural Model for Dialogue Coherence Assessment.. arXiv (Cornell University). 3 indexed citations
8.
Eger, Steffen, Gözde Gül Şahin, Andreas Rücklé, et al.. (2019). Text Processing Like Humans Do: Visually Attacking and Shielding. Explore Bristol Research. 1634–1647. 45 indexed citations
9.
Gao, Yang, Christian M. Meyer, Mohsen Mesgar, & Iryna Gurevych. (2019). Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation. 2350–2356. 9 indexed citations
10.
Mesgar, Mohsen & Michael Strube. (2018). A Neural Local Coherence Model for Text Quality Assessment. 4328–4339. 51 indexed citations
11.
Mesgar, Mohsen, et al.. (2017). Using a Graph-based Coherence Model in Document-Level Machine Translation. 26–35. 4 indexed citations
12.
Mesgar, Mohsen, et al.. (2016). Feature-Rich Error Detection in Scientific Writing Using Logistic Regression. 162–171. 1 indexed citations
13.
Mesgar, Mohsen & Michael Strube. (2016). Lexical Coherence Graph Modeling Using Word Embeddings. 1414–1423. 17 indexed citations
14.
Mesgar, Mohsen, et al.. (2016). Generating Coherent Summaries of Scientific Articles Using Coherence Patterns. TUbilio (Technical University of Darmstadt). 772–783. 34 indexed citations
15.
Mesgar, Mohsen & Michael Strube. (2015). Graph-based Coherence Modeling For Assessing Readability. 309–318. 22 indexed citations
16.
Mesgar, Mohsen & Michael Strube. (2014). Normalized Entity Graph for Computing Local Coherence. 1–5. 3 indexed citations

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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