Vivek Srikumar

7.4k citations
74 papers · 4.4k indexed · 4 hit papers · h-index 22

Vivek Srikumar

72 papers receiving 4.2k citations

Hit Papers

Predicting electricity consumption for commercial and res...57620162026201920222505007501000

Peers

Vivek Srikumar
Comparison fields: 5 of 129
  • Artificial Intelligence 2.1k
  • Computer Networks and Communications 1.0k
  • Hardware and Architecture 253
  • Software 134
  • Computer Vision and Pattern Recognition 663
Replace Kevin Fu with:
Kevin Fu United States
Marco Aiello Netherlands
Yunxin Liu China
Damith C. Ranasinghe Australia
Jim Tørresen Norway
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Pier Luca Lanzi Italy
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Ilias Leontiadis United Kingdom
Sencun Zhu United States
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Citations per field
00.5×4.7×
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Citations per year

Countries citing papers authored by Vivek Srikumar

Since Specialization
Citations

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

Fields of papers citing papers by Vivek Srikumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Vivek Srikumar, 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 Vivek Srikumar Line = papers co-authored together Vivek Srikumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20243
4 20230
5 20232
6 20238
7 20236
8 202231
9 20213
10 20161111
11
EDISON: Feature Extraction for NLP, Simplified
20167
12 2014119
13
Learning Distributed Representations for Structured Output Prediction
201418
14
Margin-based Decomposed Amortized Inference
20133
15
On Amortizing Inference Cost for Structured Prediction
20129
16
Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP
20123
17
A Joint Model for Extended Semantic Role Labeling
201124
18
Relation Alignment for Textual Entailment Recognition.
200921
19
Importance of semantic representation: dataless classification
2008145
20
Extraction of Entailed Semantic Relations Through Syntax-Based Comma Resolution
200812

About Vivek Srikumar

Vivek Srikumar is a scholar working on Artificial Intelligence, Applied Psychology, Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 74 papers that have together received 4.4k indexed citations. Recurring topics across this work include Topic Modeling (45 papers), Natural Language Processing Techniques (38 papers), Explainable Artificial Intelligence (XAI) (7 papers), Text Readability and Simplification (7 papers), Software Engineering Research (6 papers), Mental Health via Writing (6 papers), Adversarial Robustness in Machine Learning (5 papers) and Advanced Text Analysis Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (2.1k citations), Computer Networks and Communications (1.0k citations), Hardware and Architecture (253 citations), Software (134 citations) and Computer Vision and Pattern Recognition (663 citations). Vivek Srikumar has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Li Fei-Fei, Min Du, R. Stanley Williams, Naveen Muralimanohar, Ali Shafiee, Rajeev Balasubramonian, Miao Hu, John Paul Strachan, Anirban Nag and Aowabin Rahman. Their work appears in journals such as Transactions of the Association for Computational Linguistics, IEEE Transactions on Visualization and Computer Graphics, Language Resources and Evaluation, Behavior Research Methods and ACM Transactions on Interactive Intelligent Systems.

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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