Richa Grover

470 total citations
12 papers, 394 citations indexed

About

Richa Grover is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Richa Grover has authored 12 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Richa Grover's work include RNA modifications and cancer (5 papers), Emotion and Mood Recognition (4 papers) and Face recognition and analysis (4 papers). Richa Grover is often cited by papers focused on RNA modifications and cancer (5 papers), Emotion and Mood Recognition (4 papers) and Face recognition and analysis (4 papers). Richa Grover collaborates with scholars based in India, Japan and France. Richa Grover's co-authors include Saumitra Das, Partho Sarothi Ray, Debjit Khan, Sharathchandra Arandkar, Marco M. Candeias, Robin Fåhræus, Singara Singh Kasana, Emmanuel S. Pilli, Mahesh Chandra Govil and C. Rama Krishna and has published in prestigious journals such as Oncogene, EMBO Reports and Cell Cycle.

In The Last Decade

Richa Grover

10 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Richa Grover India	6	337	176	57	32	31	12	394
Debjit Khan United States	9	351 1.0×	94 0.5×	68 1.2×	37 1.2×	29 0.9×	21	398
Sven Bogaerts Belgium	4	311 0.9×	241 1.4×	60 1.1×	40 1.3×	4 0.1×	4	363
Nam-Gu Her South Korea	5	174 0.5×	48 0.3×	114 2.0×	51 1.6×	6 0.2×	5	249
Brian Quattrochi United States	8	355 1.1×	133 0.8×	157 2.8×	26 0.8×	20 0.6×	11	518
Yaara Ofir-Rosenfeld United Kingdom	6	352 1.0×	183 1.0×	80 1.4×	69 2.2×	4 0.1×	12	409
Tiago Gomes Spain	6	268 0.8×	52 0.3×	41 0.7×	43 1.3×	9 0.3×	8	327
Lei Ji China	9	254 0.8×	93 0.5×	48 0.8×	32 1.0×	3 0.1×	18	321
Gemma Turón Spain	7	187 0.6×	103 0.6×	56 1.0×	20 0.6×	3 0.1×	12	284
Georgina D. Barnabas Israel	8	258 0.8×	42 0.2×	77 1.4×	17 0.5×	8 0.3×	13	304
Verónica Rendo Sweden	8	315 0.9×	76 0.4×	60 1.1×	23 0.7×	16 0.5×	16	382

Countries citing papers authored by Richa Grover

Since Specialization

Citations

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

Fields of papers citing papers by Richa Grover

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richa Grover

This figure shows the co-authorship network connecting the top 25 collaborators of Richa Grover. A scholar is included among the top collaborators of Richa Grover 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 Richa Grover. Richa Grover 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.

Grover, Richa, et al.. (2025). Enhancing facial expression recognition in uncontrolled environment: a lightweight CNN approach with pre-processing. Neural Computing and Applications. 37(10). 7363–7378. 4 indexed citations

2.

Grover, Richa, et al.. (2024). Efficient Facial Expression Recognition Through Lightweight CNN Technique on Public Datasets. SN Computer Science. 6(1).

3.

Grover, Richa, et al.. (2024). Optimizing Facial Expression Recognition in Challenging Environment: A Streamlined CNN with Pre-processing Techniques. Journal of The Institution of Engineers (India) Series B. 106(4). 1329–1348.

4.

Grover, Richa, et al.. (2023). CNN-based Human Emotion Recognition from Facial Images in Controlled-Uncontrolled Environment. 1–6. 3 indexed citations

5.

Grover, Richa, et al.. (2023). Facial Expression Recognition: Deep Survey, Progression and Future Perspective. 111–117. 6 indexed citations

6.

Grover, Richa, C. Rama Krishna, Anand Kumar Mishra, Emmanuel S. Pilli, & Mahesh Chandra Govil. (2016). A Comparison of Analysis Approaches for Cloud Forensics. 1. 131–135. 2 indexed citations

7.

Grover, Richa & Singara Singh Kasana. (2015). Image super resolution by fast edge-adaptive interpolation. 17. 1–5. 3 indexed citations

8.

Khan, Debjit, et al.. (2012). Effect of a natural mutation in the 5′ untranslated region on the translational control of p53 mRNA. Oncogene. 32(35). 4148–4159. 31 indexed citations

9.

Grover, Richa, et al.. (2011). Effect of mutations on the p53 IRES RNA structure: Implications for de-regulation of the synthesis of p53 isoforms. RNA Biology. 8(1). 132–142. 39 indexed citations

10.

Grover, Richa, Marco M. Candeias, Robin Fåhræus, & Saumitra Das. (2009). p53 and little brother p53/47: linking IRES activities with protein functions. Oncogene. 28(30). 2766–2772. 48 indexed citations

11.

Grover, Richa, Partho Sarothi Ray, & Saumitra Das. (2008). Polypyrimidine tract binding protein regulates IRES-mediated translation of p53 isoforms. Cell Cycle. 7(14). 2189–2198. 86 indexed citations

12.

Ray, Partho Sarothi, Richa Grover, & Saumitra Das. (2006). Two internal ribosome entry sites mediate the translation of p53 isoforms. EMBO Reports. 7(4). 404–410. 172 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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