Pranam Janney

426 total citations
10 papers, 319 citations indexed

About

Pranam Janney is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Pranam Janney has authored 10 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Aerospace Engineering and 1 paper in Artificial Intelligence. Recurrent topics in Pranam Janney's work include Advanced Image and Video Retrieval Techniques (8 papers), Image Retrieval and Classification Techniques (4 papers) and Robotics and Sensor-Based Localization (4 papers). Pranam Janney is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Image Retrieval and Classification Techniques (4 papers) and Robotics and Sensor-Based Localization (4 papers). Pranam Janney collaborates with scholars based in Australia and Japan. Pranam Janney's co-authors include Jamie Sherrah, Anton van den Hengel, Sakrapee Paisitkriangkrai, David T. Booth, David M. Booth, Kazuhiro Hotta, N.J. Redding and Robert Christie and has published in prestigious journals such as IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Machine Vision and Applications and IET Image Processing.

In The Last Decade

Pranam Janney

10 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pranam Janney Australia	5	190	178	89	86	45	10	319
Teerapong Panboonyuen Thailand	8	146 0.8×	128 0.7×	93 1.0×	102 1.2×	45 1.0×	17	295
Meng Lan China	8	190 1.0×	198 1.1×	58 0.7×	70 0.8×	32 0.7×	13	376
Xiaoyang Zhao China	12	251 1.3×	161 0.9×	49 0.6×	47 0.5×	27 0.6×	19	387
Vittala K. Shettigara Australia	4	363 1.9×	228 1.3×	52 0.6×	46 0.5×	58 1.3×	7	441
Dejun Feng China	13	168 0.9×	157 0.9×	106 1.2×	134 1.6×	26 0.6×	27	397
Shasha Hou China	5	169 0.9×	115 0.6×	45 0.5×	36 0.4×	43 1.0×	8	266
Derrold W. Holcomb United States	6	287 1.5×	159 0.9×	43 0.5×	35 0.4×	50 1.1×	7	372
Reza Bahmanyar Germany	10	122 0.6×	138 0.8×	65 0.7×	52 0.6×	28 0.6×	29	288

Countries citing papers authored by Pranam Janney

Since Specialization

Citations

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

Fields of papers citing papers by Pranam Janney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pranam Janney

This figure shows the co-authorship network connecting the top 25 collaborators of Pranam Janney. A scholar is included among the top collaborators of Pranam Janney 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 Pranam Janney. Pranam Janney 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.

Hotta, Kazuhiro, et al.. (2016). Human tracking in crowded scenes using target information at previous frames. 1809–1814. 2 indexed citations

2.

Paisitkriangkrai, Sakrapee, Jamie Sherrah, Pranam Janney, & Anton van den Hengel. (2016). Semantic Labeling of Aerial and Satellite Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9(7). 2868–2881. 106 indexed citations

3.

Janney, Pranam & David T. Booth. (2015). Pose-invariant vehicle identification in aerial electro-optical imagery. Machine Vision and Applications. 26(5). 575–591. 3 indexed citations

4.

Paisitkriangkrai, Sakrapee, Jamie Sherrah, Pranam Janney, & Anton van den Hengel. (2015). Effective semantic pixel labelling with convolutional networks and Conditional Random Fields. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 36–43. 181 indexed citations

5.

Booth, David M., et al.. (2014). Fusion of Multiple Sensor Data to Recognise Moving Objects in Wide Area Motion Imagery. 20. 1–8. 3 indexed citations

6.

Booth, David M., et al.. (2013). Application of Detection and Recognition Algorithms to Persistent Wide Area Surveillance. 2781. 1–8. 4 indexed citations

7.

Janney, Pranam, et al.. (2010). IFLT Based Real-Time Framework for Image Matching. 2. 2242–2245. 1 indexed citations

8.

Janney, Pranam, et al.. (2010). Texture classification using invariant features of local textures. IET Image Processing. 4(3). 158–171. 9 indexed citations

9.

Janney, Pranam, et al.. (2007). Enhancing Capabilities Of Texture Extraction For Color Image Retrieval. Zenodo (CERN European Organization for Nuclear Research). 1(11). 282–285. 5 indexed citations

10.

Janney, Pranam, et al.. (2007). Invariant Features of Local Texturesa rotation invariant local texture descriptor. 3. 1–7. 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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