Daniel Larner

664 total citations
13 papers, 507 citations indexed

About

Daniel Larner is a scholar working on Computer Networks and Communications, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Larner has authored 13 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 4 papers in Mechanical Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Larner's work include Advanced Image and Video Retrieval Techniques (3 papers), Distributed and Parallel Computing Systems (3 papers) and Membrane Separation and Gas Transport (2 papers). Daniel Larner is often cited by papers focused on Advanced Image and Video Retrieval Techniques (3 papers), Distributed and Parallel Computing Systems (3 papers) and Membrane Separation and Gas Transport (2 papers). Daniel Larner collaborates with scholars based in United States, United Kingdom and France. Daniel Larner's co-authors include Karl A. Littau, Matthew D. Eisaman, Bhaskar Garg, Peng Wang, Jim Reich, Viktor K. Prasanna, Amol Bakshi, Peng Wang, James Mahoney and David J. Fleet and has published in prestigious journals such as Energy & Environmental Science, ACM Transactions on Graphics and AI Magazine.

In The Last Decade

Daniel Larner

13 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Larner United States	7	222	172	154	121	84	13	507
Pengcheng Jiao United States	8	97 0.4×	88 0.5×	98 0.6×	11 0.1×	31 0.4×	14	439
Saleem Raza China	13	30 0.1×	100 0.6×	180 1.2×	42 0.3×	33 0.4×	26	531
Zhiheng Xie United States	8	33 0.1×	55 0.3×	176 1.1×	191 1.6×	43 0.5×	19	472
Tian Shi China	13	188 0.8×	116 0.7×	192 1.2×	32 0.3×	36 0.4×	37	742
Jie Lian China	9	58 0.3×	93 0.5×	431 2.8×	52 0.4×	18 0.2×	15	673
Xiaoqian Wei China	11	27 0.1×	37 0.2×	78 0.5×	49 0.4×	16 0.2×	23	354
Ahmad Manasrah Jordan	12	37 0.2×	34 0.2×	60 0.4×	68 0.6×	37 0.4×	41	355
Aripriharta Aripriharta Indonesia	10	26 0.1×	52 0.3×	280 1.8×	46 0.4×	24 0.3×	131	527
Xiaohan Wang China	13	149 0.7×	45 0.3×	71 0.5×	29 0.2×	37 0.4×	47	489
Sameer Alsharif Saudi Arabia	11	118 0.5×	49 0.3×	97 0.6×	100 0.8×	19 0.2×	23	307

Countries citing papers authored by Daniel Larner

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Larner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Larner

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

All Works

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13 of 13 papers shown

1.

Bakshi, Amol, Viktor K. Prasanna, Jim Reich, & Daniel Larner. (2013). The Abstract Task Graph: A Methodology for Architecture-Independent Programming of Networked Sensor Systems.. 11 indexed citations

2.

Crawford, Lara S., Wheeler Ruml, H. Hindi, et al.. (2013). Online Reconfigurable Machines. AI Magazine. 34(3). 73–88. 4 indexed citations

3.

Eisaman, Matthew D., et al.. (2011). CO2 desorption using high-pressure bipolar membrane electrodialysis. Energy & Environmental Science. 4(10). 4031–4031. 105 indexed citations

4.

Eisaman, Matthew D., et al.. (2010). CO₂separation using bipolar membrane electrodialysis. Energy & Environmental Science. 4(4). 1319–1328. 198 indexed citations

5.

Larner, Daniel, et al.. (2009). Energy-efficient electrochemical CO2 capture from the atmosphere. TechConnect Briefs. 3(2009). 175–178. 23 indexed citations

6.

Crawford, Lara S., H. Hindi, Ri‐Gui Zhou, & Daniel Larner. (2009). Synchronized control in a large-scale networked distributed printing system. 158–163. 5 indexed citations

7.

Bakshi, Amol, Viktor K. Prasanna, Jim Reich, & Daniel Larner. (2005). The Abstract Task Graph: a methodology for architecture-independent programming of networked sensor systems. 19–24. 74 indexed citations

8.

Saund, Eric, David J. Fleet, Daniel Larner, & James Mahoney. (2004). Perceptually-supported image editing of text and graphics. 728–728. 4 indexed citations

9.

Saund, Eric, David J. Fleet, Daniel Larner, & James Mahoney. (2004). Perceptually-supported image editing of text and graphics. ACM Transactions on Graphics. 23(3). 728–728. 11 indexed citations

10.

Saund, Eric, David J. Fleet, Daniel Larner, & James Mahoney. (2003). Perceptually-supported image editing of text and graphics. 183–192. 57 indexed citations

11.

Larner, Daniel. (1990). Factories, objects, and blackboards. 5(4). 38–45. 4 indexed citations

12.

Larner, Daniel. (1990). A distributed, operating system based, blackboard architecture for real-time control. 1. 99–108. 5 indexed citations

13.

Larner, Daniel. (1985). A Recursive Expert Troubleshooting System Utilizing General and Specific Knowledge.. 34–41. 6 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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