James Dunyak

625 total citations
11 papers, 153 citations indexed

About

James Dunyak is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, James Dunyak has authored 11 papers receiving a total of 153 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 6 papers in Electrical and Electronic Engineering and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in James Dunyak's work include Advanced Wireless Communication Techniques (4 papers), Advanced MIMO Systems Optimization (3 papers) and Wireless Communication Networks Research (3 papers). James Dunyak is often cited by papers focused on Advanced Wireless Communication Techniques (4 papers), Advanced MIMO Systems Optimization (3 papers) and Wireless Communication Networks Research (3 papers). James Dunyak collaborates with scholars based in United States, United Kingdom and Canada. James Dunyak's co-authors include Mojdeh Mohtashemi, Peter Blume‐Jensen, S. Perwez Hussain, David L. Rimm, Sharon Friedlander, David M. Berman, Thomas P. Nifong, Michail Shipitsin, Julie Nardone and Massimo Loda and has published in prestigious journals such as Journal of Clinical Oncology, British Journal of Cancer and IEEE Communications Magazine.

In The Last Decade

James Dunyak

11 papers receiving 148 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James Dunyak United States	5	81	37	31	18	17	11	153
Thodsawit Tiyarattanachai Thailand	12	39 0.5×	15 0.4×	29 0.9×	3 0.2×	14 0.8×	23	310
Zhengang Chen Canada	10	33 0.4×	78 2.1×	130 4.2×	113 6.3×	121 7.1×	22	304
Zhiyong Xu China	9	144 1.8×	9 0.2×	21 0.7×	21 1.2×	9 0.5×	29	306
Hieu Nguyen United States	6	14 0.2×	9 0.2×	84 2.7×	3 0.2×	3 0.2×	14	173
Ariel Jaffe United States	5	15 0.2×	25 0.7×	68 2.2×	4 0.2×	42 2.5×	6	214
Xinran Ma China	6	47 0.6×	25 0.7×	18 0.6×		7 0.4×	17	111
Chongchong Zhao China	8	33 0.4×	33 0.9×	119 3.8×	7 0.4×	6 0.4×	13	188
Xingwu Liu China	7	17 0.2×	7 0.2×	27 0.9×	21 1.2×	3 0.2×	36	130
Elba Raimúndez Germany	8	61 0.8×	13 0.4×	106 3.4×	2 0.1×	2 0.1×	14	224
Hu Song China	7	25 0.3×	28 0.8×	24 0.8×	50 2.8×	3 0.2×	23	134

Countries citing papers authored by James Dunyak

Since Specialization

Citations

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

Fields of papers citing papers by James Dunyak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Dunyak

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

All Works

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11 of 11 papers shown

1.

Song, Xuyang, Robin Kate Kelley, Michelle Green, et al.. (2023). Modeling of Proliferating CD4 and CD8 T‐Cell Changes to Tremelimumab Exposure in Patients with Unresectable Hepatocellular Carcinoma. Clinical Pharmacology & Therapeutics. 114(4). 874–882. 2 indexed citations

2.

Choudhury, Sibgat, Bruce J. Trock, Julie Nardone, et al.. (2015). Evaluation of early clinical experience of a novel prognostic proteomics prostate cancer biopsy test.. Journal of Clinical Oncology. 33(7_suppl). 88–88. 1 indexed citations

3.

Shipitsin, Michail, Eldar Giladi, Sharon Friedlander, et al.. (2014). Identification of proteomic biomarkers predicting prostate cancer aggressiveness and lethality despite biopsy-sampling error. British Journal of Cancer. 111(6). 1201–1212. 104 indexed citations

4.

Mohtashemi, Mojdeh, Peter Szolovits, James Dunyak, & Kenneth D. Mandl. (2006). A susceptible-infected model of early detection of respiratory infection outbreaks on a background of influenza. Journal of Theoretical Biology. 241(4). 954–963. 16 indexed citations

5.

Dunyak, James, et al.. (2006). Capacity enhancement of cdma networks using interference cancellation techniques. IEEE Communications Magazine. 44(7). 86–92. 6 indexed citations

6.

Dunyak, James, et al.. (2006). Enhancing the Performance of Wireless Sensor Networks with MIMO Communications. 22. 1–6. 5 indexed citations

7.

Dunyak, James, et al.. (2006). Cooperative MIMO gateways: a promising technique for fast handoff. 49–54. 1 indexed citations

8.

Costa, Paulo, James Dunyak, & Mojdeh Mohtashemi. (2005). Models, prediction, and estimation of outbreaks of infectious disease. 174–178. 9 indexed citations

9.

Dunyak, James, et al.. (2005). Cohesion of Wireless Sensor Networks with MIMO Communications. 547–551. 3 indexed citations

10.

Flanagan, Brian P. & James Dunyak. (2004). A steady state decoupled Kalman filter technique for multiuser detection. 1. 347–352. 3 indexed citations

11.

Flanagan, Brian P., et al.. (2003). Performance of a joint Kalman demodulator for multiuser detection. 3. 1525–1529. 3 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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