Tim Zajic

1.1k total citations
32 papers, 714 citations indexed

About

Tim Zajic is a scholar working on Artificial Intelligence, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Tim Zajic has authored 32 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 10 papers in Statistics and Probability and 9 papers in Management Science and Operations Research. Recurrent topics in Tim Zajic's work include Target Tracking and Data Fusion in Sensor Networks (13 papers), Probability and Risk Models (8 papers) and Stochastic processes and financial applications (7 papers). Tim Zajic is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (13 papers), Probability and Risk Models (8 papers) and Stochastic processes and financial applications (7 papers). Tim Zajic collaborates with scholars based in United States, Taiwan and Mexico. Tim Zajic's co-authors include Ronald Mahler, Philip Heidelberger, Perwez Shahabuddin, Paul Glasserman, Cheng‐Shang Chang, Amir Dembo, Raman K. Mehra, Pierre Del Moral, David D. Yao and A. El-Fallah and has published in prestigious journals such as IEEE Transactions on Automatic Control, Operations Research and Journal of Optimization Theory and Applications.

In The Last Decade

Tim Zajic

30 papers receiving 671 citations

Peers

Tim Zajic
András Horváth Italy
Vladislav B. Tadić United Kingdom
Marvin K. Nakayama United States
Gerard Hooghiemstra Netherlands
Charalambos D. Charalambous Cyprus
Herbert A. David United States
Y. Ji United States
Rudolf Grübel Germany
Gerardo Rubino France
François Le Gland France
András Horváth Italy
Tim Zajic
Citations per year, relative to Tim Zajic Tim Zajic (= 1×) peers András Horváth

Countries citing papers authored by Tim Zajic

Since Specialization
Citations

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

Fields of papers citing papers by Tim Zajic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Zajic

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Zajic. A scholar is included among the top collaborators of Tim Zajic 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 Tim Zajic. Tim Zajic 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.
El-Fallah, A., et al.. (2004). <title>Multisensor-multitarget sensor management with target preference</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5429. 222–232. 3 indexed citations
2.
Zajic, Tim & Ronald Mahler. (2003). <title>Particle-systems implementation of the PHD multitarget-tracking filter</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5096. 291–299. 114 indexed citations
3.
Zajic, Tim, et al.. (2003). <title>Joint tracking and identification with robustness against unmodeled targets</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5096. 279–290. 17 indexed citations
4.
Chang, Cheng‐Shang & Tim Zajic. (2002). Effective bandwidths of departure processes from queues with time varying capacities. 1001–1009. 102 indexed citations
5.
Zajic, Tim. (2001). Large deviations for a class of planar functional stochastic differential equations. Stochastic Analysis and Applications. 19(6). 1087–1107.
6.
Hoffman, John R., Ronald Mahler, & Tim Zajic. (2001). <title>User-defined information and scientific performance evaluation</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4380. 300–311. 6 indexed citations
7.
El-Fallah, A., Raman K. Mehra, John R. Hoffman, et al.. (2001). <title>Scientific performance evaluation for distributed sensor management and adaptive data fusion</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4380. 328–338. 6 indexed citations
8.
Zajic, Tim, John L. Hoffman, & Ronald Mahler. (2000). <title>Scientific performance metrics for data fusion: new results</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4052. 172–182. 9 indexed citations
9.
El-Fallah, A., et al.. (2000). <title>Scientific performance evaluation for sensor management</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4052. 183–194. 6 indexed citations
10.
Chang, Cheng‐Shang, David D. Yao, & Tim Zajic. (2000). Large deviations for processes with long-range dependence, with queueing applications. University of Minnesota Digital Conservancy (University of Minnesota). 1 indexed citations
11.
Mahler, Ronald, et al.. (2000). <title>Joint tracking, pose estimation, and identification using HRRR data</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4052. 195–206. 1 indexed citations
12.
Chang, Cheng‐Shang, David D. Yao, & Tim Zajic. (1999). Large deviations, moderate deviations, and queues with long-range dependent input. Advances in Applied Probability. 31(1). 254–278. 2 indexed citations
13.
Zajic, Tim & Ronald Mahler. (1999). Practical information-based data fusion performance evaluation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3720. 92–92. 9 indexed citations
14.
Chang, Cheng‐Shang, David D. Yao, & Tim Zajic. (1999). Large deviations, moderate deviations, and queues with long-range dependent input. Advances in Applied Probability. 31(1). 254–278. 12 indexed citations
15.
Glasserman, Paul, Philip Heidelberger, Perwez Shahabuddin, & Tim Zajic. (1998). A large deviations perspective on the efficiency of multilevel splitting. IEEE Transactions on Automatic Control. 43(12). 1666–1679. 50 indexed citations
16.
Dembo, Amir & Tim Zajic. (1997). Uniform large and moderate deviations for functional empirical processes. Stochastic Processes and their Applications. 67(2). 195–211. 17 indexed citations
17.
Zajic, Tim. (1996). Large deviations for a class of recursive algorithms. Statistics & Probability Letters. 26(2). 135–140.
18.
Glasserman, Paul, Philip Heidelberger, Perwez Shahabuddin, & Tim Zajic. (1996). Splitting for rare event simulation. 302–308. 54 indexed citations
19.
Dembo, Amir & Tim Zajic. (1995). Large deviations: From empirical mean and measure to partial sums process. Stochastic Processes and their Applications. 57(2). 191–224. 61 indexed citations
20.
Zajic, Tim. (1995). Large exceedences for uniformly recurrent Markov-additive processes and strong-mixing stationary processes. Journal of Applied Probability. 32(3). 679–691. 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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