Jyoti Arora

411 total citations
17 papers, 296 citations indexed

About

Jyoti Arora is a scholar working on Information Systems, Molecular Biology and Oncology. According to data from OpenAlex, Jyoti Arora has authored 17 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 3 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Jyoti Arora's work include CAR-T cell therapy research (2 papers), Immune Cell Function and Interaction (2 papers) and Data Mining Algorithms and Applications (2 papers). Jyoti Arora is often cited by papers focused on CAR-T cell therapy research (2 papers), Immune Cell Function and Interaction (2 papers) and Data Mining Algorithms and Applications (2 papers). Jyoti Arora collaborates with scholars based in United States, India and Russia. Jyoti Arora's co-authors include Asha Gandhi, Amita Suneja Dang, Naiji Lu, Robert M. Bossarte, Kenneth R. Conner, Xin Tu, Ira R. Katz, Hua He, Caitlin D. Lemke and Albert Kim and has published in prestigious journals such as Nucleic Acids Research, Blood and Cancer Research.

In The Last Decade

Jyoti Arora

17 papers receiving 284 citations

Peers

Jyoti Arora
Comparison fields: 5 of 86
  • Clinical Psychology 94
  • Molecular Biology 69
  • Education 55
  • Information Systems 34
  • Infectious Diseases 30
Replace Zhanna R. Gardanova with:
Zhanna R. Gardanova Russia
Sun‐Ae Kim South Korea
Mindy D Szeto United States
Carol Fraser United Kingdom
Jane E. Sinclair Australia
Nuno Damácio de Carvalho Félix Brazil
Joyce Lin United States
Thomas P. Clements United States
Kathleen Savage United Kingdom
Zhanna R. Gardanova Russia View profile →
Citations per field, relative to Jyoti Arora
Jyoti Arora · 1×
Citations per year, relative to Jyoti Arora
Jyoti Arora · 1×

Countries citing papers authored by Jyoti Arora

Since Specialization
Citations

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

Fields of papers citing papers by Jyoti Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jyoti Arora

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 15
2 1
3 1
4 10
5 83
6 4
7 4
8 49
9 14
10
Hybrid FCM PSO algorithm with cityblock distance
2
11 6
12 1
13 68
14
A REVIEW ON ASSOCIATION RULEMINING ALGORITHMS
15
15
An Efficient ARM Technique for Information Retrieval in Data Mining
2
16 19
17
Artificial Neural Network Modeling & Standardization of HPTLC Method for the Estimation of Cholesterol in Edible Oils
2

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026