John Mullane

721 total citations
15 papers, 547 citations indexed

About

John Mullane is a scholar working on Artificial Intelligence, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, John Mullane has authored 15 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Aerospace Engineering and 7 papers in Electrical and Electronic Engineering. Recurrent topics in John Mullane's work include Target Tracking and Data Fusion in Sensor Networks (11 papers), Robotics and Sensor-Based Localization (10 papers) and Indoor and Outdoor Localization Technologies (7 papers). John Mullane is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (11 papers), Robotics and Sensor-Based Localization (10 papers) and Indoor and Outdoor Localization Technologies (7 papers). John Mullane collaborates with scholars based in Singapore, Australia and Chile. John Mullane's co-authors include Martin Adams, Ba‐Ngu Vo, Ba-Tuong Vo, W.S. Wijesoma, Ronald Mahler, Nicholas M. Patrikalakis, Matthew Adams, Martin R. Adams, A.C. Rao and Franz S. Hover and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and IEEE Sensors Journal.

In The Last Decade

John Mullane

15 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Mullane Singapore 11 381 338 237 89 87 15 547
Donka Angelova Bulgaria 12 183 0.5× 353 1.0× 149 0.6× 84 0.9× 101 1.2× 38 534
Jonas Callmer Sweden 12 270 0.7× 100 0.3× 307 1.3× 132 1.5× 63 0.7× 17 516
Ya Zhang China 15 357 0.9× 205 0.6× 213 0.9× 54 0.6× 81 0.9× 58 602
C. Hide United Kingdom 8 420 1.1× 279 0.8× 235 1.0× 50 0.6× 29 0.3× 20 573
Hang Guo China 14 282 0.7× 91 0.3× 328 1.4× 92 1.0× 62 0.7× 46 531
Tisheng Zhang China 15 472 1.2× 146 0.4× 208 0.9× 82 0.9× 25 0.3× 45 645
Hatem Hmam Australia 14 322 0.8× 266 0.8× 377 1.6× 87 1.0× 162 1.9× 36 602
Gongjian Zhou China 13 361 0.9× 436 1.3× 85 0.4× 52 0.6× 65 0.7× 94 583
Sihao Zhao China 16 305 0.8× 125 0.4× 283 1.2× 35 0.4× 119 1.4× 43 588
J.N. Driessen Netherlands 9 245 0.6× 389 1.2× 86 0.4× 120 1.3× 92 1.1× 17 590

Countries citing papers authored by John Mullane

Since Specialization
Citations

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

Fields of papers citing papers by John Mullane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Mullane

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

All Works

15 of 15 papers shown
1.
Adams, Martin, Ba‐Ngu Vo, Ronald Mahler, & John Mullane. (2014). SLAM Gets a PHD: New Concepts in Map Estimation. IEEE Robotics & Automation Magazine. 21(2). 26–37. 63 indexed citations
2.
Adams, Martin, John Mullane, & Ba‐Ngu Vo. (2013). Circumventing the Feature Association Problem in SLAM. IEEE Intelligent Transportation Systems Magazine. 5(3). 40–58. 5 indexed citations
3.
4.
Adams, Matthew, et al.. (2012). Robotic Navigation and Mapping with Radar. eSpace (Curtin University). 49 indexed citations
5.
Mullane, John, Ba‐Ngu Vo, Martin Adams, & Ba-Tuong Vo. (2011). A Random-Finite-Set Approach to Bayesian SLAM. IEEE Transactions on Robotics. 27(2). 268–282. 214 indexed citations
6.
Rao, A.C., John Mullane, W.S. Wijesoma, & Nicholas M. Patrikalakis. (2011). SLAM with adaptive noise tuning for the marine environment. ac 29. 1–6. 8 indexed citations
7.
Mullane, John, Ba‐Ngu Vo, Martin R. Adams, & Ba-Tuong Vo. (2011). Random Finite Sets for Robot Mapping and SLAM. DIAL (Catholic University of Leuven). 46 indexed citations
8.
Mullane, John, Ba‐Ngu Vo, Martin Adams, & Ba-Tuong Vo. (2011). Random Finite Sets for Robot Mapping & SLAM: New Concepts in Autonomous Robotic Map Representations. 5 indexed citations
9.
Mullane, John, et al.. (2010). X-band radar based SLAM in Singapore's off-shore environment. 398–403. 13 indexed citations
10.
Mullane, John, Ba‐Ngu Vo, & Martin Adams. (2010). Rao-Blackwellised PHD SLAM. DR-NTU (Nanyang Technological University). 5410–5416. 29 indexed citations
11.
Adams, Martin, et al.. (2010). Predicting Millimeter Wave Radar Spectra for Autonomous Navigation. IEEE Sensors Journal. 10(5). 960–971. 36 indexed citations
12.
Mullane, John, Martin Adams, & W.S. Wijesoma. (2009). Robotic Mapping Using Measurement Likelihood Filtering. The International Journal of Robotics Research. 28(2). 172–190. 17 indexed citations
13.
Mullane, John, Ba‐Ngu Vo, Martin Adams, & W.S. Wijesoma. (2008). A random set formulation for Bayesian SLAM. UWA Profiles and Research Repository (University of Western Australia). 1043–1049. 30 indexed citations
14.
Mullane, John, et al.. (2006). Including probabilistic target detection attributes into map representations. Robotics and Autonomous Systems. 55(1). 72–85. 15 indexed citations
15.
Mullane, John, Martin Adams, & W.S. Wijesoma. (2006). Evidential versus Bayesian Estimation for Radar Map Building. 4195. 1–8. 15 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Donka Angelova Breakdown of academic impact, for papers by Jonas Callmer Breakdown of academic impact, for papers by Ya Zhang Breakdown of academic impact, for papers by C. Hide Breakdown of academic impact, for papers by Hang Guo Breakdown of academic impact, for papers by Tisheng Zhang Breakdown of academic impact, for papers by Hatem Hmam Breakdown of academic impact, for papers by Gongjian Zhou Breakdown of academic impact, for papers by Sihao Zhao Breakdown of academic impact, for papers by J.N. Driessen
Rankless by CCL
2026