Katie McConky

485 total citations
22 papers, 336 citations indexed

About

Katie McConky is a scholar working on Artificial Intelligence, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering. According to data from OpenAlex, Katie McConky has authored 22 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Renewable Energy, Sustainability and the Environment and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Katie McConky's work include Smart Grid Energy Management (7 papers), Energy Efficiency and Management (7 papers) and Network Security and Intrusion Detection (5 papers). Katie McConky is often cited by papers focused on Smart Grid Energy Management (7 papers), Energy Efficiency and Management (7 papers) and Network Security and Intrusion Detection (5 papers). Katie McConky collaborates with scholars based in United States, France and Luxembourg. Katie McConky's co-authors include Shanchieh Jay Yang, Rubén A. Proaño, Ahmet Okutan, Moises Sudit, Rakesh Nagi, Moises Sudit, William Hughes, Roger Chen, Eric Hittinger and Éric Rondeau and has published in prestigious journals such as Journal of Cleaner Production, Energy and Buildings and Building and Environment.

In The Last Decade

Katie McConky

21 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Katie McConky United States	11	122	91	83	65	59	22	336
Laurynas Šikšnys Denmark	12	200 1.6×	74 0.8×	71 0.9×	45 0.7×	49 0.8×	30	357
Amr Munshi Saudi Arabia	10	223 1.8×	83 0.9×	58 0.7×	80 1.2×	70 1.2×	25	402
Jia-Hao Syu Taiwan	10	100 0.8×	84 0.9×	78 0.9×	40 0.6×	46 0.8×	31	376
Viktoriya Degeler Netherlands	9	72 0.6×	40 0.4×	65 0.8×	42 0.6×	31 0.5×	44	252
Meritxell Vinyals France	12	169 1.4×	60 0.7×	166 2.0×	25 0.4×	71 1.2×	43	420
Ramkumar Devendiran India	6	67 0.5×	98 1.1×	132 1.6×	31 0.5×	36 0.6×	8	318
Thimal Kempitiya Australia	5	69 0.6×	72 0.8×	39 0.5×	38 0.6×	42 0.7×	8	289
Keiko V. O. Fonseca Brazil	10	166 1.4×	27 0.3×	53 0.6×	22 0.3×	28 0.5×	52	426
Saima Aman United States	8	203 1.7×	136 1.5×	107 1.3×	97 1.5×	116 2.0×	14	439
Stephan Meisel Germany	9	197 1.6×	59 0.6×	15 0.2×	20 0.3×	91 1.5×	19	439

Countries citing papers authored by Katie McConky

Since Specialization

Citations

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

Fields of papers citing papers by Katie McConky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katie McConky

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

All Works

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20 of 20 papers shown

Sudit, Moises, et al.. (2024). An Exploration of Optimizing Kidney Exchanges with Graph Machine Learning. 114–119. 1 indexed citations

McConky, Katie, et al.. (2022). GAMMA: Graph Attention Model for Multiple Agents to Solve Team Orienteering Problem With Multiple Depots. IEEE Transactions on Neural Networks and Learning Systems. 34(11). 9412–9423. 14 indexed citations

McConky, Katie, et al.. (2022). Forecasting an electricity demand threshold to proactively trigger cost saving demand response actions. Energy and Buildings. 268. 112221–112221. 9 indexed citations

Kubler, Sylvain, et al.. (2022). Greenhouse gas emission reduction in residential buildings: A lightweight model to be deployed on edge devices. Journal of Cleaner Production. 368. 133092–133092. 3 indexed citations

Yang, Shanchieh Jay, et al.. (2021). Near real-time intrusion alert aggregation using concept-based learning. 152–160. 3 indexed citations

McConky, Katie, et al.. (2021). Peak electric load days forecasting for energy cost reduction with and without behind the meter renewable electricity generation. International Journal of Energy Research. 45(13). 18735–18753. 6 indexed citations

McConky, Katie, et al.. (2020). Optimization of residential battery energy storage system scheduling for cost and emissions reductions. Energy and Buildings. 210. 109787–109787. 36 indexed citations

Okutan, Ahmet, et al.. (2019). CAPTURE: Cyberattack Forecasting Using Non-Stationary Features with Time Lags. 205–213. 7 indexed citations

McConky, Katie, et al.. (2019). Don’t pass the automated vehicles!. Transportation Research Part C Emerging Technologies. 100. 289–305. 24 indexed citations

10.

McConky, Katie, et al.. (2018). Energy cost minimization for unrelated parallel machine scheduling under real time and demand charge pricing. Journal of Cleaner Production. 208. 232–242. 57 indexed citations

11.

Okutan, Ahmet, et al.. (2018). Forecasting cyberattacks with incomplete, imbalanced, and insignificant data. Cybersecurity. 1(1). 16 indexed citations

12.

Yang, Shanchieh Jay, et al.. (2018). Forecasting Cyberattacks as Time Series with Different Aggregation Granularity. 1–7. 4 indexed citations

13.

Yang, Shanchieh Jay, et al.. (2017). Predicting cyber attacks with bayesian networks using unconventional signals. 1–4. 22 indexed citations

14.

Okutan, Ahmet, et al.. (2017). POSTER. 2563–2565. 11 indexed citations

15.

Yang, Shanchieh Jay, et al.. (2017). Time series forecasting of cyber attack intensity. 1–3. 36 indexed citations

16.

McConky, Katie, et al.. (2017). A comparison of motivational and informational contexts for improving eco-driving performance. Transportation Research Part F Traffic Psychology and Behaviour. 52. 62–74. 6 indexed citations

17.

Hittinger, Eric, et al.. (2017). Keeping your cool – A multi-stakeholder look at AC sizing. Building and Environment. 131. 306–329. 4 indexed citations

18.

McConky, Katie, et al.. (2016). Real time machine coordination for instantaneous load smoothing and photovoltaic intermittency mitigation. Journal of Cleaner Production. 142. 1406–1416. 12 indexed citations

19.

McConky, Katie, Rakesh Nagi, Moises Sudit, & William Hughes. (2012). Improving event co-reference by context extraction and dynamic feature weighting. 38–43. 16 indexed citations

20.

McConky, Katie, et al.. (2011). Significant information encapsulation and valence exploitation (SIEVE) for discovery. International Conference on Information Fusion. 1–8. 1 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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