Pulkit Verma

426 total citations
12 papers, 67 citations indexed

About

Pulkit Verma is a scholar working on Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Pulkit Verma has authored 12 papers receiving a total of 67 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 2 papers in Control and Systems Engineering. Recurrent topics in Pulkit Verma's work include AI-based Problem Solving and Planning (3 papers), Logic, Reasoning, and Knowledge (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Pulkit Verma is often cited by papers focused on AI-based Problem Solving and Planning (3 papers), Logic, Reasoning, and Knowledge (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Pulkit Verma collaborates with scholars based in India and United States. Pulkit Verma's co-authors include Pradip K. Das, Siddharth Srivastava, Sourav Banerjee, Siddharth G. Chatterjee, Mayank Gupta, Kamalakar Karlapalem and Neeraj Kumar and has published in prestigious journals such as International Journal of Speech Technology, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Pulkit Verma

11 papers receiving 63 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pulkit Verma India	5	44	24	8	8	6	12	67
Mike Chrzanowski United States	2	55 1.3×	22 0.9×	12 1.5×	23 2.9×	4 0.7×	4	77
Suhaila Abuowaida Jordan	6	29 0.7×	12 0.5×	10 1.3×	12 1.5×	12 2.0×	29	87
Karan Malik India	3	31 0.7×	12 0.5×	12 1.5×	13 1.6×	11 1.8×	4	75
Jacob Montiel New Zealand	4	58 1.3×	16 0.7×	7 0.9×	7 0.9×	8 1.3×	13	73
Lea Schönherr Germany	5	26 0.6×	19 0.8×	6 0.8×	18 2.3×	10 1.7×	12	68
Felix Kreuk Israel	6	80 1.8×	59 2.5×	9 1.1×	7 0.9×	3 0.5×	13	89
Renjie Liu China	4	45 1.0×	45 1.9×	17 2.1×	3 0.4×	4 0.7×	10	69
Romain Poussier Singapore	4	49 1.1×	23 1.0×	9 1.1×	19 2.4×	3 0.5×	8	55
David Samyde Belgium	5	55 1.3×	19 0.8×	10 1.3×	15 1.9×	6 1.0×	7	64

Countries citing papers authored by Pulkit Verma

Since Specialization

Citations

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

Fields of papers citing papers by Pulkit Verma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pulkit Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Pulkit Verma. A scholar is included among the top collaborators of Pulkit Verma 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 Pulkit Verma. Pulkit Verma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Chatterjee, Siddharth G., et al.. (2024). Agentic AI: The building blocks of sophisticated AI business applications. 3(3). 196–196. 8 indexed citations

2.

Verma, Pulkit, et al.. (2022). Discovering User-Interpretable Capabilities of Black-Box Planning Agents. 362–372. 1 indexed citations

3.

Verma, Pulkit, et al.. (2022). Differential Assessment of Black-Box AI Agents. Proceedings of the AAAI Conference on Artificial Intelligence. 36(9). 9868–9876. 4 indexed citations

4.

Verma, Pulkit & Neeraj Kumar. (2021). COVID-19 Contact Tracing Applications: Design and Operations. International Journal of Health Sciences and Research. 11(4). 1–11. 1 indexed citations

5.

Verma, Pulkit, et al.. (2021). Asking the Right Questions: Learning Interpretable Action Models Through Query Answering. Proceedings of the AAAI Conference on Artificial Intelligence. 35(13). 12024–12033. 8 indexed citations

6.

Verma, Pulkit & Siddharth Srivastava. (2019). Learning Generalized Models by Interrogating Black-Box Autonomous Agents. arXiv (Cornell University).

7.

Verma, Pulkit, et al.. (2019). Transportation of Deformable Payload through Static and Dynamic Obstacles using Loosely Coupled Nonholonomic Robots. 228–230. 4 indexed citations

8.

Verma, Pulkit, et al.. (2019). Asking the Right Questions: Learning Interpretable Action Models Through Query Answering. arXiv (Cornell University). 35(13). 12024–12033. 1 indexed citations

9.

Verma, Pulkit, et al.. (2016). A comparative study of resource usage for speaker recognition techniques. 314–319. 1 indexed citations

10.

Verma, Pulkit & Pradip K. Das. (2015). i-Vectors in speech processing applications: a survey. International Journal of Speech Technology. 18(4). 529–546. 33 indexed citations

11.

Gupta, Mayank, et al.. (2015). A mobile agents based distributed speech recognition engine for controlling multiple robots. 1–6. 2 indexed citations

12.

Verma, Pulkit, et al.. (2014). Improving services using mobile agents-based IoT in a smart city. 107–111. 4 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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