Gourab Kundu

594 citations
16 papers · 222 indexed · h-index 8
Topics
Topic Modeling (10 papers)Natural Language Processing Techniques (9 papers)Data Mining Algorithms and Applications (2 papers)
Journals
Theory and applications of categoriesInternational Journal of Control and AutomationEmpirical Methods in Natural Language Processing
Partner nations
United StatesBangladesh

In The Last Decade

Gourab Kundu

15 papers receiving 201 citations

Peers

Gourab Kundu
Comparison fields: 5 of 43
  • Artificial Intelligence 167
  • Computer Vision and Pattern Recognition 41
  • Information Systems 35
  • Management Science and Operations Research 28
  • Molecular Biology 23
Replace Sang-Hyeun Park with:
Sang-Hyeun Park Germany
Peter Geibel Germany
Taiyu Ban China
Amir Kantor Israel
Phillipp Schoppmann United States
Chenhao Xie China
Jieun Eom South Korea
P. Torasso Italy
Cheol-Young Ock South Korea
Eşref Adalı Türkiye
Gourab Kundu relative to Sang-Hyeun Park Germany Sang-Hyeun Park's profile →
Citations per field
00.5×2.9×
Sang-Hyeun Park · 1×
Citations per year

Countries citing papers authored by Gourab Kundu

Since Specialization
Citations

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

Fields of papers citing papers by Gourab Kundu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gourab Kundu

This figure shows the co-authorship network connecting the top 25 collaborators of Gourab Kundu. A scholar is included among the top collaborators of Gourab Kundu 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 Gourab Kundu. Gourab Kundu 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
#WorkIndexed citations
1 6
2 2
3 17
4 42
5
The IBM Systems for Entity Discovery and Linking at TAC 2017.
1
6 24
7 4
8
Margin-based Decomposed Amortized Inference
3
9 29
10
On Amortizing Inference Cost for Structured Prediction
9
11
Adapting Text instead of the Model: An Open Domain Approach
4
12
Intelligent Mobile Health Monitoring System (IMHMS)
34
13
Relation Alignment for Textual Entailment Recognition.
21
14 3
15 4
16 19

About Gourab Kundu

Gourab Kundu is a scholar working on Artificial Intelligence, Radiological and Ultrasound Technology and Information Systems, having authored 16 papers that have together received 222 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Data Mining Algorithms and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (167 citations), Management Science and Operations Research (28 citations) and Computer Vision and Pattern Recognition (41 citations). Gourab Kundu has collaborated with scholars based in United States and Bangladesh. Frequent co-authors include Wael Hamza, Radu Florian, Dan Roth, Avirup Sil, Md. Faizul Bari, Chen-Tse Tsai, Rifat Shahriyar, Sheikh Iqbal Ahamed, Md. Mostofa Akbar and Vivek Srikumar. Their work appears in journals such as Theory and applications of categories, International Journal of Control and Automation and Empirical Methods in Natural Language Processing.

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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