Vikram Nitin

631 total citations
6 papers, 107 citations indexed

About

Vikram Nitin is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems. According to data from OpenAlex, Vikram Nitin has authored 6 papers receiving a total of 107 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Statistical and Nonlinear Physics and 2 papers in Information Systems. Recurrent topics in Vikram Nitin's work include Complex Network Analysis Techniques (3 papers), Advanced Graph Neural Networks (3 papers) and Graph Theory and Algorithms (1 paper). Vikram Nitin is often cited by papers focused on Complex Network Analysis Techniques (3 papers), Advanced Graph Neural Networks (3 papers) and Graph Theory and Algorithms (1 paper). Vikram Nitin collaborates with scholars based in United States and India. Vikram Nitin's co-authors include Prateek Yadav, Naganand Yadati, Anand Louis, Partha Talukdar, Madhav Nimishakavi, Baishakhi Ray, Rahul Krishna and Gail E. Kaiser and has published in prestigious journals such as IEEE Transactions on Software Engineering and ePrints@IISc (Indian Institute of Science).

In The Last Decade

Vikram Nitin

6 papers receiving 105 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vikram Nitin United States	5	63	37	27	24	24	6	107
Fabrizio Frasca Italy	2	101 1.6×	27 0.7×	21 0.8×	11 0.5×	50 2.1×	5	144
Qitian Wu China	8	118 1.9×	38 1.0×	56 2.1×	14 0.6×	25 1.0×	19	169
Seyed Mehran Kazemi Canada	6	139 2.2×	18 0.5×	18 0.7×	6 0.3×	17 0.7×	15	154
Lingyuan Meng China	5	136 2.2×	18 0.5×	23 0.9×	9 0.4×	45 1.9×	10	163
Madhav Nimishakavi India	5	66 1.0×	39 1.1×	7 0.3×	5 0.2×	32 1.3×	7	99
Keyulu Xu United States	5	173 2.7×	46 1.2×	23 0.9×	9 0.4×	53 2.2×	8	190
Nikos Parotsidis Italy	6	34 0.5×	50 1.4×	17 0.6×	64 2.7×	13 0.5×	26	133
Siyuan Cheng China	6	117 1.9×	8 0.2×	10 0.4×	10 0.4×	32 1.3×	15	144
Guillaume Cleuziou France	6	84 1.3×	12 0.3×	15 0.6×	8 0.3×	27 1.1×	11	101

Countries citing papers authored by Vikram Nitin

Since Specialization

Citations

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

Fields of papers citing papers by Vikram Nitin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikram Nitin

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

All Works

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6 of 6 papers shown

1.

Nitin, Vikram, et al.. (2025). C2SaferRust: Transforming C Projects Into Safer Rust With NeuroSymbolic Techniques. IEEE Transactions on Software Engineering. 52(2). 618–630. 1 indexed citations

2.

Nitin, Vikram, et al.. (2022). CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture. 1–12. 18 indexed citations

3.

Nitin, Vikram, et al.. (2021). DIRECT : A Transformer-based Model for Decompiled Identifier Renaming. 48–57. 7 indexed citations

4.

Yadati, Naganand, Vikram Nitin, Madhav Nimishakavi, et al.. (2020). NHP: Neural Hypergraph Link Prediction. 1705–1714. 49 indexed citations

5.

Yadati, Naganand, Madhav Nimishakavi, Prateek Yadav, et al.. (2019). HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs. ePrints@IISc (Indian Institute of Science). 32. 1509–1520. 26 indexed citations

6.

Yadati, Naganand, Vikram Nitin, Madhav Nimishakavi, et al.. (2018). Link Prediction in Hypergraphs using Graph Convolutional Networks. 6 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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