Daniel Citron

877 total citations
28 papers, 444 citations indexed

About

Daniel Citron is a scholar working on Computer Networks and Communications, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Daniel Citron has authored 28 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 10 papers in Artificial Intelligence and 9 papers in Hardware and Architecture. Recurrent topics in Daniel Citron's work include Parallel Computing and Optimization Techniques (9 papers), Software System Performance and Reliability (5 papers) and Mosquito-borne diseases and control (3 papers). Daniel Citron is often cited by papers focused on Parallel Computing and Optimization Techniques (9 papers), Software System Performance and Reliability (5 papers) and Mosquito-borne diseases and control (3 papers). Daniel Citron collaborates with scholars based in United States, Israel and United Kingdom. Daniel Citron's co-authors include Larry Rudolph, Dror G. Feitelson, Paul Ginsparg, Germán Varas, Sidney R. Nagel, Xiang Cheng, Heinrich M. Jaeger, Carlos A. Guerra, David L. Smith and John L. Hennessy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Daniel Citron

27 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Citron United States	12	179	148	71	66	62	28	444
Xiaofang Wang China	11	57 0.3×	102 0.7×	75 1.1×	36 0.5×	9 0.1×	50	405
Terence Hung Singapore	12	32 0.2×	166 1.1×	69 1.0×	16 0.2×	4 0.1×	37	515
R. Nassar United States	13	70 0.4×	149 1.0×	131 1.8×	10 0.2×	115 1.9×	37	501
Démian Nave United States	8	48 0.3×	60 0.4×	4 0.1×	15 0.2×	41 0.7×	12	387
Robert Hood United States	14	345 1.9×	434 2.9×	38 0.5×	15 0.2×	15 0.2×	55	787
Maurice Tchuenté France	13	60 0.3×	161 1.1×	56 0.8×	118 1.8×	2 0.0×	61	580
Devabhaktuni Srikrishna United States	10	583 3.3×	544 3.7×	135 1.9×	7 0.1×	3 0.0×	18	875
Henryk Fukś Canada	11	17 0.1×	86 0.6×	26 0.4×	31 0.5×	2 0.0×	40	476
David E Singh Spain	10	133 0.7×	165 1.1×	8 0.1×	4 0.1×	6 0.1×	54	319
Yatindra Nath Singh India	16	9 0.1×	359 2.4×	557 7.8×	30 0.5×	6 0.1×	114	840

Countries citing papers authored by Daniel Citron

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Citron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Citron

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

All Works

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20 of 20 papers shown

Bansi‐Matharu, Loveleen, Daniel Citron, John Stover, et al.. (2025). Identifying gaps in the HIV treatment cascade in Africa: a model comparison study. The Lancet Global Health. 13(6). e1006–e1019. 2 indexed citations

Mulenga, Lloyd, Kebby Musokotwane, Khozya Zyambo, et al.. (2025). Impacts of US Bilateral Aid Disruptions on HIV Resurgence in Zambia: A Mathematical Modeling Study. Open Forum Infectious Diseases. 12(9). ofaf511–ofaf511.

Cuadros, Diego F., et al.. (2023). Geospatial patterns of progress towards UNAIDS ‘95-95-95’ targets and community vulnerability in Zambia: insights from population-based HIV impact assessments. BMJ Global Health. 8(10). e012629–e012629. 3 indexed citations

Karrer, Brian, et al.. (2023). Large-scale measurement of aggregate human colocation patterns for epidemiological modeling. Epidemics. 42. 100663–100663. 9 indexed citations

Wu, Sean L., Daniel Citron, Héctor M. Sánchez C., et al.. (2023). Spatial dynamics of malaria transmission. PLoS Computational Biology. 19(6). e1010684–e1010684. 10 indexed citations

Citron, Daniel, Carlos A. Guerra, Andrew J. Dolgert, et al.. (2021). Comparing metapopulation dynamics of infectious diseases under different models of human movement. Proceedings of the National Academy of Sciences. 118(18). 23 indexed citations

Citron, Daniel, Carlos A. Guerra, Guillermo A. García, et al.. (2021). Quantifying malaria acquired during travel and its role in malaria elimination on Bioko Island. Malaria Journal. 20(1). 359–359. 10 indexed citations

Guerra, Carlos A., Su Yun Kang, Daniel Citron, et al.. (2019). Human mobility patterns and malaria importation on Bioko Island. Nature Communications. 10(1). 2332–2332. 39 indexed citations

Gaspar, John M., David M. Hoffman, Daniel Citron, & Dan Odell. (2019). 3‐3: The effect of larger field‐of‐view on visual search times for world‐locked augmented reality objects. SID Symposium Digest of Technical Papers. 50(1). 9–12. 1 indexed citations

10.

Shehory, Onn, Daniel Citron, Peter Kruse, et al.. (2014). Assessing the Applicability of a Combinatorial Testing tool within an Industrial Environment.. Conferencia Iberoamericana de Software Engineering. 405–418. 4 indexed citations

11.

Nguyen, Cu, Paolo Tonella, Tanja E. J. Vos, et al.. (2014). Test Prioritization based on Change Sensitivity: an Industrial Case Study. Utrecht University Repository (Utrecht University). 2104(12). 4 indexed citations

12.

Citron, Daniel, et al.. (2011). Testing large-scale cloud management. IBM Journal of Research and Development. 55(6). 6:1–6:10. 6 indexed citations

13.

Rivers, Mark L., Daniel Citron, & Yanbin Wang. (2010). Recent developments in computed tomography at GSECARS. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7804. 780409–780409. 16 indexed citations

14.

Cheng, Xiang, Germán Varas, Daniel Citron, Heinrich M. Jaeger, & Sidney R. Nagel. (2007). Collective Behavior in a Granular Jet: Emergence of a Liquid with Zero Surface Tension. Physical Review Letters. 99(18). 188001–188001. 64 indexed citations

15.

Citron, Daniel, et al.. (2006). The harmonic or geometric mean. ACM SIGARCH Computer Architecture News. 34(4). 18–25. 21 indexed citations

16.

Ben-Asher, Yosi, et al.. (2004). Overlapping memory operations with circuit evaluation in reconfigurable computing. 31. 148–155. 2 indexed citations

17.

Citron, Daniel. (2003). MisSPECulation. ACM SIGARCH Computer Architecture News. 31(2). 52–61. 2 indexed citations

18.

Hennessy, John L., Daniel Citron, David A. Patterson, & Gurindar S. Sohi. (2003). The use and abuse of SPEC: An ISCA panel. IEEE Micro. 23(4). 73–77. 18 indexed citations

19.

Citron, Daniel & Larry Rudolph. (2002). Creating a wider bus using caching techniques. 90–99. 50 indexed citations

20.

Citron, Daniel, Dror G. Feitelson, & Larry Rudolph. (1998). Accelerating multi-media processing by implementing memoing in multiplication and division units. ACM SIGOPS Operating Systems Review. 32(5). 252–261. 2 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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