Robin Williams

803 total citations · 1 hit paper
29 papers, 551 citations indexed

About

Robin Williams is a scholar working on Sociology and Political Science, Computer Networks and Communications and Oncology. According to data from OpenAlex, Robin Williams has authored 29 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sociology and Political Science, 5 papers in Computer Networks and Communications and 5 papers in Oncology. Recurrent topics in Robin Williams's work include Advanced Database Systems and Queries (4 papers), Multimedia Communication and Technology (4 papers) and CAR-T cell therapy research (3 papers). Robin Williams is often cited by papers focused on Advanced Database Systems and Queries (4 papers), Multimedia Communication and Technology (4 papers) and CAR-T cell therapy research (3 papers). Robin Williams collaborates with scholars based in United States, United Kingdom and Canada. Robin Williams's co-authors include Matthew Johnson, Mark L. Norris, Stacey A Bélanger, Elizabeth Moreau, Michelle Ponti, Richard Stanwick, Ruth Grimes, Bruce S. Hostager, Bennett D. Elzey and John H. Lee and has published in prestigious journals such as Blood, IEEE Transactions on Biomedical Engineering and ACM Computing Surveys.

In The Last Decade

Robin Williams

27 papers receiving 510 citations

Hit Papers

Screen time and young children: Promoting health and deve... 2017 2026 2020 2023 2017 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Screen time and young children: Promoting health and development in a digital world
    2017 265 citations Robin Williams et al. Paediatrics & Child Health profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robin Williams United States 10 218 186 64 57 55 29 551
Anlan Zhang United States 12 430 2.0× 203 1.1× 23 0.4× 56 1.0× 19 0.3× 21 1.1k
Chun‐Yen Tsai Taiwan 16 421 1.9× 73 0.4× 14 0.2× 29 0.5× 155 2.8× 56 1.1k
Jonathan Klein United States 9 92 0.4× 110 0.6× 8 0.1× 9 0.2× 79 1.4× 11 1.3k
Craig S. Miller United States 15 76 0.3× 30 0.2× 97 1.5× 12 0.2× 151 2.7× 55 1.1k
Katja Maaß Germany 16 922 4.2× 71 0.4× 19 0.3× 14 0.2× 108 2.0× 28 1.3k
Carmen Jiménez Fernández Spain 9 173 0.8× 25 0.1× 33 0.5× 24 0.4× 104 1.9× 51 828
Arup Ghosh India 14 252 1.2× 251 1.3× 44 0.7× 8 0.1× 46 0.8× 56 835
Ji Y. Son United States 19 598 2.7× 40 0.2× 38 0.6× 5 0.1× 61 1.1× 58 1.5k
Yuxin Ma United States 11 121 0.6× 27 0.1× 30 0.5× 17 0.3× 53 1.0× 31 428
Ssu‐Kuang Chen Taiwan 16 170 0.8× 134 0.7× 22 0.3× 24 0.4× 25 0.5× 35 814

Countries citing papers authored by Robin Williams

Since Specialization
Citations

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

Fields of papers citing papers by Robin Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robin Williams

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

All Works

20 of 20 papers shown
1.
Gordon, Peter M., Robin Williams, Kimyeong Lee, et al.. (2025). An antibody-drug conjugate targeting VpreB1 for the treatment of B-cell acute lymphoblastic leukemia. PubMed. 2(3). 100120–100120.
2.
Cresswell, Kathrin, et al.. (2025). A mixed methods formative evaluation of the United Kingdom National Health Service Artificial Intelligence Lab. npj Digital Medicine. 8(1). 448–448. 2 indexed citations
3.
4.
Greengard, Emily, Robin Williams, Branden S. Moriarity, et al.. (2024). A phase 1/2 study of pepinemab in children, adolescents, or young adults with recurrent or refractory solid tumors: A children's oncology group consortium report (ADVL1614). Pediatric Blood & Cancer. 71(6). e30938–e30938. 2 indexed citations
5.
Doherty, Megan, et al.. (2019). Experiences from the first 10 years of a perinatal palliative care program: A retrospective chart review. Paediatrics & Child Health. 26(1). e11–e16. 8 indexed citations
6.
Doherty, Megan, et al.. (2018). Characteristics of a Perinatal Palliative Care Program Over 10 years. Journal of Pain and Symptom Management. 56(6). e107–e108. 1 indexed citations
7.
Williams, Robin, Sarah Cooley, Veronika Bachanová, et al.. (2017). Recipient T Cell Exhaustion and Successful Adoptive Transfer of Haploidentical Natural Killer Cells. Biology of Blood and Marrow Transplantation. 24(3). 618–622. 16 indexed citations
8.
Williams, Robin, Hongbo Wang, Ryan Shanley, et al.. (2016). Fewer circulating natural killer cells 28 days after double cord blood transplantation predicts inferior survival and IL-15 response. Blood Advances. 1(3). 208–218. 9 indexed citations
9.
Intra, Janjira, et al.. (2011). Immunostimulatory sutures that treat local disease recurrence following primary tumor resection. Biomedical Materials. 6(1). 11001–11001. 9 indexed citations
10.
Williams, Robin, Dong Wook Lee, Bennett D. Elzey, et al.. (2009). Preclinical models of HPV+ and HPV− HNSCC in mice: An immune clearance of HPV+ HNSCC. Head & Neck. 31(7). 911–918. 81 indexed citations
11.
Howell, F., Robin Williams, & Roland N. Ibbett. (2002). Hierarchical Architecture Design and Simulation Environment. 363–366. 6 indexed citations
12.
Williams, Robin. (1988). Networked personal computers for desk-top publishing and graphics production. Journal of Audiovisual Media in Medicine. 11(2). 41–48. 2 indexed citations
13.
Williams, Robin. (1984). Medical photography study guide. 4 indexed citations
14.
Williams, Robin & A. Seireg. (1977). Interactive Computer Modeling of the Musculoskeletal System. IEEE Transactions on Biomedical Engineering. BME-24(3). 213–219. 15 indexed citations
15.
Williams, Robin, et al.. (1976). Graphic and relational data base support for problem solving. 183–189. 24 indexed citations
16.
Williams, Robin, et al.. (1976). Graphic and relational data base support for problem solving. ACM SIGGRAPH Computer Graphics. 10(2). 183–189. 16 indexed citations
17.
Williams, Robin, et al.. (1976). Enhanced graphics performance with user controlled segment files. 179–182. 3 indexed citations
18.
Williams, Robin. (1974). On the Application of Relational Data Structures in Computer Graphics.. IFIP Congress. 722–726. 13 indexed citations
19.
Williams, Robin. (1971). A Systematic Method for the Creation of Data Structures in Computer Graphics Applications.. Defense Technical Information Center (DTIC). 2 indexed citations
20.
Williams, Robin. (1971). A Survey of Data Structures for Computer Graphics Systems. ACM Computing Surveys. 3(1). 1–21. 42 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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