Nikhil Anand

806 total citations · 1 hit paper
9 papers, 363 citations indexed

About

Nikhil Anand is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Artificial Intelligence. According to data from OpenAlex, Nikhil Anand has authored 9 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Obstetrics and Gynecology, 2 papers in Pediatrics, Perinatology and Child Health and 2 papers in Artificial Intelligence. Recurrent topics in Nikhil Anand's work include Maternal and Perinatal Health Interventions (4 papers), Global Maternal and Child Health (2 papers) and Recommender Systems and Techniques (1 paper). Nikhil Anand is often cited by papers focused on Maternal and Perinatal Health Interventions (4 papers), Global Maternal and Child Health (2 papers) and Recommender Systems and Techniques (1 paper). Nikhil Anand collaborates with scholars based in India. Nikhil Anand's co-authors include Riddhi Patel, Seema Patel, Archana Purwar, Neeraj Soni, Dhiraj Kumar Singh, Rahul Chauhan and Chandradeep Bhatt and has published in prestigious journals such as International Journal of Education and Management Engineering, 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) and International Journal of Reproduction Contraception Obstetrics and Gynecology.

In The Last Decade

Nikhil Anand

6 papers receiving 332 citations

Hit Papers

Hydraulic City 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nikhil Anand India 4 291 110 96 84 46 9 363
Renu Desai India 7 234 0.8× 181 1.6× 42 0.4× 101 1.2× 19 0.4× 11 379
Austin Zeiderman United Kingdom 11 172 0.6× 141 1.3× 52 0.5× 160 1.9× 35 0.8× 20 369
Samer Alatout United States 8 281 1.0× 16 0.1× 95 1.0× 262 3.1× 32 0.7× 10 441
Andrea Marston United States 10 127 0.4× 12 0.1× 49 0.5× 94 1.1× 20 0.4× 16 253
Amahl Bishara United States 9 94 0.3× 36 0.3× 29 0.3× 168 2.0× 56 1.2× 21 373
Jyoti Hosagrahar France 6 53 0.2× 92 0.8× 20 0.2× 104 1.2× 35 0.8× 10 294
Rodrigo Castriota Brazil 4 112 0.4× 176 1.6× 39 0.4× 64 0.8× 27 0.6× 8 288
Mike Davis Australia 6 47 0.2× 82 0.7× 25 0.3× 128 1.5× 9 0.2× 15 312
Shaun Lin Singapore 8 129 0.4× 15 0.1× 23 0.2× 114 1.4× 54 1.2× 20 288
Mandana E. Limbert United States 5 122 0.4× 10 0.1× 43 0.4× 124 1.5× 77 1.7× 11 240

Countries citing papers authored by Nikhil Anand

Since Specialization
Citations

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

Fields of papers citing papers by Nikhil Anand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikhil Anand

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

All Works

9 of 9 papers shown
1.
Anand, Nikhil, et al.. (2023). Influence Scores at Scale for Efficient Language Data Sampling. 2485–2510.
2.
Chauhan, Rahul, et al.. (2023). Comparison of Cauliflower Disease Prediction by CNN & ResNet-50. 1083–1087.
3.
Soni, Neeraj, et al.. (2022). Online Book Recommendation System using Custom Recommender. 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI). 179 46. 921–925.
4.
Anand, Nikhil, et al.. (2019). A clinical study of maternal outcome in post dated pregnancy in a tertiary care hospital. International Journal of Reproduction Contraception Obstetrics and Gynecology. 8(9). 3573–3573. 3 indexed citations
5.
Purwar, Archana, et al.. (2018). TweetRush: A Tool for Analysis of Twitter Data. International Journal of Education and Management Engineering. 8(2). 31–40. 3 indexed citations
6.
Anand, Nikhil, et al.. (2018). Comparison of fetal outcome in spontaneous versus induced labor in postdated pregnancy: a study in a tertiary care centre. International Journal of Reproduction Contraception Obstetrics and Gynecology. 7(10). 4081–4081. 1 indexed citations
7.
Anand, Nikhil. (2017). Hydraulic City. 349 indexed citations breakdown →
8.
Patel, Seema, et al.. (2016). Obstetric and perinatal outcome in previous one cesarean section. International Journal of Reproduction Contraception Obstetrics and Gynecology. 3141–3146. 2 indexed citations
9.
Patel, Riddhi, et al.. (2016). Impact of FLAMM scoring on cesarean section rate in previous one lower segment cesarean section patient. International Journal of Reproduction Contraception Obstetrics and Gynecology. 3820–3823. 5 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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