P.D. Hanlon

492 total citations
10 papers, 366 citations indexed

About

P.D. Hanlon is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, P.D. Hanlon has authored 10 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Control and Systems Engineering and 4 papers in Computer Networks and Communications. Recurrent topics in P.D. Hanlon's work include Target Tracking and Data Fusion in Sensor Networks (9 papers), Fault Detection and Control Systems (7 papers) and Distributed Sensor Networks and Detection Algorithms (4 papers). P.D. Hanlon is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (9 papers), Fault Detection and Control Systems (7 papers) and Distributed Sensor Networks and Detection Algorithms (4 papers). P.D. Hanlon collaborates with scholars based in United States and Puerto Rico. P.D. Hanlon's co-authors include P.S. Maybeck and has published in prestigious journals such as IEEE Transactions on Aerospace and Electronic Systems and Defense Technical Information Center (DTIC).

In The Last Decade

P.D. Hanlon

9 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
P.D. Hanlon United States	7	259	216	83	57	39	10	366
Smita Sadhu India	10	123 0.5×	175 0.8×	195 2.3×	76 1.3×	15 0.4×	45	338
Xiangdong Lin United States	7	96 0.4×	296 1.4×	158 1.9×	76 1.3×	138 3.5×	10	346
Kumar Pakki Bharani Chandra United Kingdom	10	189 0.7×	227 1.1×	184 2.2×	90 1.6×	59 1.5×	25	400
Laurens Van Eykeren Netherlands	10	270 1.0×	157 0.7×	109 1.3×	16 0.3×	19 0.5×	13	339
Guangle Jia China	10	135 0.5×	266 1.2×	127 1.5×	40 0.7×	63 1.6×	17	321
Ian Griffin United Kingdom	10	236 0.9×	82 0.4×	32 0.4×	21 0.4×	9 0.2×	20	365
Mostafa Mjahed Morocco	11	224 0.9×	110 0.5×	66 0.8×	63 1.1×	20 0.5×	49	381
Bong-Jun Yang United States	13	438 1.7×	96 0.4×	179 2.2×	8 0.1×	34 0.9×	45	557
M. Hou Germany	7	591 2.3×	57 0.3×	24 0.3×	33 0.6×	42 1.1×	15	643

Countries citing papers authored by P.D. Hanlon

Since Specialization

Citations

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

Fields of papers citing papers by P.D. Hanlon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.D. Hanlon. 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 P.D. Hanlon. The network helps show where P.D. Hanlon may publish in the future.

Co-authorship network of co-authors of P.D. Hanlon

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Hanlon, P.D. & P.S. Maybeck. (2002). Multiple-model adaptive estimation using a residual correlation Kalman filter bank. 4. 4494–4495. 6 indexed citations

2.

Hanlon, P.D. & P.S. Maybeck. (2002). Equivalent Kalman filter bank structure for multiple model adaptive estimation (MMAE) and generalized likelihood ratio (GLR) failure detection. 5. 4312–4317.

3.

Maybeck, P.S. & P.D. Hanlon. (2002). Performance enhancement of a multiple model adaptive estimator. 462–468. 10 indexed citations

4.

Hanlon, P.D. & P.S. Maybeck. (2002). Characterization of Kalman filter residuals in the presence of mismodeling. 2. 1254–1259. 3 indexed citations

5.

Hanlon, P.D. & P.S. Maybeck. (2000). Multiple-model adaptive estimation using a residual correlation Kalman filter bank. IEEE Transactions on Aerospace and Electronic Systems. 36(2). 393–406. 177 indexed citations

6.

Hanlon, P.D. & P.S. Maybeck. (2000). Characterization of Kalman filter residuals in the presence of mismodeling. IEEE Transactions on Aerospace and Electronic Systems. 36(1). 114–131. 43 indexed citations

7.

Hanlon, P.D. & P.S. Maybeck. (1998). Interrelationship of single-filter and multiple-model adaptive algorithms. IEEE Transactions on Aerospace and Electronic Systems. 34(3). 934–946. 12 indexed citations

8.

Hanlon, P.D.. (1996). Practical Implementation of Multiple Model Adaptive Estimation Using Neyman-Pearson Based Hypothesis Testing and Spectral Estimation Tools. 11 indexed citations

9.

Maybeck, P.S. & P.D. Hanlon. (1995). Performance enhancement of a multiple model adaptive estimator. IEEE Transactions on Aerospace and Electronic Systems. 31(4). 1240–1254. 99 indexed citations

10.

Hanlon, P.D.. (1992). Failure Identification using Multiple Model Adaptive Estimation for the LAMBDA Flight Vehicle. Defense Technical Information Center (DTIC). 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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